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Why machine_learning firmware on Thingy:52 use LIS2DH sensor instead of MPU-9250?

Haroldo

The Thingy:52 application uses LIS2DH in low power standby mode and the MPU-9250 for advanced motion tracking.


Why machine_learning firmware used LIS2DH sensor instead of MPU-9250?

  • +1

    Hello,

    The machine learning application for the Thingy:52 is a pretrained model to showcase the power of Tiny ML (µC Machine Learning), built with Edge Impulse Studio. I do not know if there is any particular reason for using the LIS2DH instead of the MPU-9250 in the example, but since they both provide acceleration data I suppose the LIS2DH is good enough for the purpose of the demonstration.

    Best regards,
    Karl

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